Add cross, conv, cov, etc funs (#1680)

* Add signal tests

* add tests_signal

* Export cross, conv, etc funs

* Add docstrings to fun

* Identify a viz('single column')

* Correct typo in a docstring

* Add the functions file.

src/GMT.jl

@@ -157,6 +157,8 @@ export
 
 	colorzones!, rasterzones!, rasterzones, lelandshade, texture_img, crop, doy2date, date2doy, yeardecimal, ISOtime2unix,
 	median, mean, quantile, std, nanmean, nanstd, skipnan, zonal_statistics, zonal_stats,
+
+	conv, xcorr, xcov,
 
 	add2PSfile, append2fig, linearfitxy, regiongeog, streamlines, peaks, polygonlevels, randinpolygon, polyfit, polyval,
 

src/filter1d.jl

@@ -37,7 +37,7 @@ Parameters
     Compute the cumulative distance along the input line. Note that for this the first two columns
     must contain the spatial coordinates.
 
-To see the full documentation type: ``@? histogram``
+To see the full documentation type: ``@? filter1d``
 """
 filter1d(cmd0::String; kw...) = filter1d_helper(cmd0, nothing; kw...)
 filter1d(arg1; kw...)         = filter1d_helper("", arg1; kw...)

src/imshow.jl

@@ -67,7 +67,7 @@ function imshow(arg1, x::AbstractVector{Float64}=Float64[], y::AbstractVector{Fl
 		call_img = true
 	elseif (isa(arg1, GDtype) || isa(arg1, GMTfv) || isa(arg1, Vector{GMTfv}) || (isa(arg1, VecOrMat{<:Real}) && size(arg1,2) <= 4) || (isa(arg1, Gdal.AbstractDataset) || isa(arg1, Gdal.AbstractGeometry)))
 		(isa(arg1, Gdal.AbstractDataset) || isa(arg1, Gdal.AbstractGeometry)) && (arg1 = gd2gmt(arg1))
-		isa(arg1, Matrix{<:Real}) && (arg1 = mat2ds(arg1))
+		isa(arg1, Matrix{<:Real}) && (arg1 = size(arg1,2) == 1 ? cat_1_arg(arg1, true) : mat2ds(arg1))
 		isa(arg1, Vector{<:Real}) && (arg1 = mat2ds([1:length(arg1) arg1]))	# Make it a 2D dataset with the first col = 1:ncol(arg1))
 		if isa(arg1, Vector{GMTfv})
 			ginfo = getbbox(arg1);